Please use this identifier to cite or link to this item: http://ir.library.ui.edu.ng/handle/123456789/2461
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSimolowo, O. E.-
dc.contributor.authorMousavi, A.-
dc.date.accessioned2018-10-16T09:39:48Z-
dc.date.available2018-10-16T09:39:48Z-
dc.date.issued2012-
dc.identifier.otherui_inpro-simolowo_developing_2012-
dc.identifier.other2012 international Conference on Manufacturing Engineering and Technology for Manufacturing Growth(METMG 2012)-
dc.identifier.urihttp://ir.library.ui.edu.ng/handle/123456789/2461-
dc.descriptionIn proceedingsen_US
dc.description.abstractSeveral procedures have been proposed to overcome various challenges of product-content analysis after manufacturing and downstream automated recycling processes. These procedures have been restricted by factors such as the inability to determine exactly the physical state of the hidden parts of End-of-life products. This inhibition among others has resulted into an explosion of solutions by researchers. This paper presents the initial investigations in the development of imaging software. The software support a novel method of integrating scanned and digital imaging in material identification to overcome some of the existing shortcomings of automated recycling processes. The description of the software-algorithm structure and its centrality in post-manufacturing and automated recycling processes concludes this paperen_US
dc.language.isoen_USen_US
dc.titleDeveloping an imaging software for automated recycling processes (phase 1)en_US
dc.typeOtheren_US
Appears in Collections:scholarly works

Files in This Item:
File Description SizeFormat 
(4)ui_inpro_simolowo_developing_2012.pdf3.09 MBAdobe PDFThumbnail
View/Open


Items in UISpace are protected by copyright, with all rights reserved, unless otherwise indicated.